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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,694 papers · 148 categories

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3 results for “peridynamics”

A Message Passing Neural Network Surrogate Model for Bond-Associated Peridynamic Material Correspondence Formulationphysics.comp-ph

A neural network speeds up bond-associated peridynamics simulations.

problem High computational costs in bond-associated peridynamics.

method Message-passing neural network (MPNN) for bond-associated peridynamic material correspondence formulation.

result Significantly reduces computation time via GPU acceleration.

peridynamics neural networks bond-associated material correspondence surrogate model

2024-10-29abs ↗pdf ↗

Peri-Net-Pro: The neural processes with quantified uncertainty for crack patternscs.CE

Study uses neural processes to predict and classify crack patterns in moving disks.

problem Predicting and classifying crack patterns in moving disks.

method Peridynamic theory, Convolutional Neural Networks (CNNs), and Neural Processes.

result Neural Processes provide accurate predictions even with missing or insufficient data.

crack prediction neural processes peridynamics image classification regression analysis

2020-05-23abs ↗pdf ↗

A nonlocal physics-informed deep learning framework using the peridynamic differential operatorcs.LG

Develops a nonlocal PINN framework using PDDO for better solution of PDEs with sharp gradients.

problem Dealing with sharp gradients in solutions of PDEs using traditional PINN approaches.

method Integrates long-range interactions (nonlocality) into PINN using Peridynamic Differential Operator (PDDO).

result Nonlocal PINN approach improves solution accuracy and parameter inference for problems with sharp gradients.

Physics-Informed Neural Networks Peridynamic Differential Operator Nonlocal Interactions Partial Differential Equations Sharp Gradients

2020-05-31abs ↗pdf ↗